Generalized Linear Mixed Models via Monte Carlo Likelihood
Approximation
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Documentation for package ‘glmm’ version 1.4.4
Help Pages
| bacteria | Presence of Bacteria after Drug Treatments |
| bernoulli.glmm | Functions for the Bernoulli family. |
| binomial.glmm | Functions for the Binomial family. |
| Booth2 | A Logit-Normal GLMM Dataset |
| BoothHobert | A Logit-Normal GLMM Dataset from Booth and Hobert |
| cbpp2 | Contagious Bovine Pleuropneumonia |
| coef.glmm | Extract Model Coefficients |
| confint.glmm | Calculates Asymptotic Confidence Intervals |
| glmm | Fitting Generalized Linear Mixed Models using MCML |
| logLik.glmm | Monte Carlo Log Likelihood |
| mcse | Monte Carlo Standard Error |
| mcvcov | Monte Carlo Variance Covariance Matrix |
| murder | Number of Homicide Victims Known |
| poisson.glmm | Functions for the Poisson family. |
| print.summary.glmm | Summarizing GLMM Fits |
| radish2 | Radish count data set |
| salamander | Salamander mating data set from McCullagh and Nelder (1989) |
| se | Standard Error |
| summary.glmm | Summarizing GLMM Fits |
| varcomps | Extract Model Variance Components |
| vcov.glmm | Variance-Covariance Matrix |